Integrating Large Language Models into Accessible and Inclusive Education: Access Democratization and Individualized Learning Enhancement Supported by Generative Artificial Intelligence

This study explores the integration of large language models (LLMs) into educational environments, emphasizing enhanced accessibility, inclusivity, and individualized learning experiences. The study evaluates trends in the transformative potential of artificial intelligence (AI) technologies in thei...

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Main Author: Inigo Lopez-Gazpio
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Information
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Online Access:https://www.mdpi.com/2078-2489/16/6/473
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author Inigo Lopez-Gazpio
author_facet Inigo Lopez-Gazpio
author_sort Inigo Lopez-Gazpio
collection DOAJ
description This study explores the integration of large language models (LLMs) into educational environments, emphasizing enhanced accessibility, inclusivity, and individualized learning experiences. The study evaluates trends in the transformative potential of artificial intelligence (AI) technologies in their capacity to significantly mitigate traditional barriers related to language diversity, learning disabilities, cultural differences, and socioeconomic inequalities. The result of the analysis highlights how LLMs personalize instructional content and dynamically respond to each learner’s educational and emotional needs. The work also advocates for an instructor-guided deployment of LLMs as pedagogical catalysts rather than replacements, emphasizing educators’ role in ethical oversight, cultural sensitivity, and emotional support within AI-enhanced classrooms. Finally, while recognizing concerns regarding data privacy, potential biases, and ethical implications, the study argues that the proactive and responsible integration of LLMs by educators is necessary for democratizing access to education and to foster inclusive learning practices, thereby advancing the effectiveness and equity of contemporary educational frameworks.
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spelling doaj-art-4a1cc9c098ed41d8a3e0b7a76a184b222025-08-20T02:21:07ZengMDPI AGInformation2078-24892025-06-0116647310.3390/info16060473Integrating Large Language Models into Accessible and Inclusive Education: Access Democratization and Individualized Learning Enhancement Supported by Generative Artificial IntelligenceInigo Lopez-Gazpio0Computer Science and Artificial Intelligence Department (CSAI), University of the Basque Country (UPV/EHU), Manuel Lardizabal Pasealekua, No. 1, 20018 Donostia, SpainThis study explores the integration of large language models (LLMs) into educational environments, emphasizing enhanced accessibility, inclusivity, and individualized learning experiences. The study evaluates trends in the transformative potential of artificial intelligence (AI) technologies in their capacity to significantly mitigate traditional barriers related to language diversity, learning disabilities, cultural differences, and socioeconomic inequalities. The result of the analysis highlights how LLMs personalize instructional content and dynamically respond to each learner’s educational and emotional needs. The work also advocates for an instructor-guided deployment of LLMs as pedagogical catalysts rather than replacements, emphasizing educators’ role in ethical oversight, cultural sensitivity, and emotional support within AI-enhanced classrooms. Finally, while recognizing concerns regarding data privacy, potential biases, and ethical implications, the study argues that the proactive and responsible integration of LLMs by educators is necessary for democratizing access to education and to foster inclusive learning practices, thereby advancing the effectiveness and equity of contemporary educational frameworks.https://www.mdpi.com/2078-2489/16/6/473artificial intelligence in educationtechnology-assisted educationinclusive educationintegrative pedagogical practices
spellingShingle Inigo Lopez-Gazpio
Integrating Large Language Models into Accessible and Inclusive Education: Access Democratization and Individualized Learning Enhancement Supported by Generative Artificial Intelligence
Information
artificial intelligence in education
technology-assisted education
inclusive education
integrative pedagogical practices
title Integrating Large Language Models into Accessible and Inclusive Education: Access Democratization and Individualized Learning Enhancement Supported by Generative Artificial Intelligence
title_full Integrating Large Language Models into Accessible and Inclusive Education: Access Democratization and Individualized Learning Enhancement Supported by Generative Artificial Intelligence
title_fullStr Integrating Large Language Models into Accessible and Inclusive Education: Access Democratization and Individualized Learning Enhancement Supported by Generative Artificial Intelligence
title_full_unstemmed Integrating Large Language Models into Accessible and Inclusive Education: Access Democratization and Individualized Learning Enhancement Supported by Generative Artificial Intelligence
title_short Integrating Large Language Models into Accessible and Inclusive Education: Access Democratization and Individualized Learning Enhancement Supported by Generative Artificial Intelligence
title_sort integrating large language models into accessible and inclusive education access democratization and individualized learning enhancement supported by generative artificial intelligence
topic artificial intelligence in education
technology-assisted education
inclusive education
integrative pedagogical practices
url https://www.mdpi.com/2078-2489/16/6/473
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